Separable and Semiparametric Network-based Counting Processes applied to the International Combat Aircraft Trades

Abstract

We propose a novel tie-oriented model for longitudinal event network data. The generating mechanism is assumed to be a multivariate Poisson process that governs the onset and repetition of yearly observed events with two separate intensity functions. We apply the model to a network obtained from the number of international deliveries of combat aircraft trades between 1950 and 2017. Based on a modified trade gravity approach we identify economic and political factors impeding or lightening the number of transfers. Extensive dynamics as well as country heterogeneity require the specification of semiparametric time-varying effects as well as random effects.

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